{"id":"W320575465","doi":"10.1037/e447852006-001","title":"Suicide among Veterans: Research, Models and Data","year":2004,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Data science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002312684,0.0007689563,0.0009409108,0.0006368455,0.0005110307,0.0002851023,0.003777265,0.0007064393,0.002195248],"category_scores_gemma":[0.0002330853,0.000717835,0.00007877909,0.0004834146,0.0009891872,0.0007416737,0.002433578,0.002055412,0.002096436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008122858,"about_ca_system_score_gemma":0.0001432471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03355385,"about_ca_topic_score_gemma":0.00885206,"domain_scores_codex":[0.9936107,0.0006580831,0.0008404664,0.002492564,0.0009855505,0.001412676],"domain_scores_gemma":[0.9907647,0.0008312452,0.0002429535,0.007657033,0.0001155803,0.000388515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001866706,0.00029459,0.0000722491,0.0001919276,0.0005798139,0.0007522143,0.0002081226,0.000003389549,0.000001536418,0.0001030451,0.9968048,0.0008016812],"study_design_scores_gemma":[0.001349774,0.000173253,0.0006001067,0.0001368206,0.0003175838,0.000108284,0.0005218788,0.00001520236,8.577246e-7,0.001887905,0.994127,0.0007612921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002104472,0.01267945,0.00003248736,0.0002991126,0.0009318071,0.0008292255,0.9846115,0.00007378455,0.0003321453],"genre_scores_gemma":[0.0001744198,0.005639921,0.0001469116,0.0007157651,0.0006471371,0.0002020261,0.9922948,0.00007687852,0.0001021195],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02470179,"threshold_uncertainty_score":0.9995273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3047147914754713,"score_gpt":0.4777635962478942,"score_spread":0.1730488047724228,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}